Merge pull request #60 from jiangyi15/p0.1.6

switch version to v0.1.6

CHANGELOG.md

@@ -4,12 +4,32 @@
 
 [Full Changelog](https://github.com/jiangyi15/tf-pwa/compare/v0.1.5...HEAD)
 
+## [v0.1.6](https://github.com/jiangyi15/tf-pwa/tree/v0.1.6) (2021-10-28)
+
+[Full Changelog](https://github.com/jiangyi15/tf-pwa/compare/v0.1.5...v0.1.6)
+
 **<font color=red>Numeric</font>**
 
 - Support parity transfomation, for charge conjugation process. The old method
   is still aviable for `cp_trans: False`
   [#53](https://github.com/jiangyi15/tf-pwa/pull/53)
 
+- Update default options: `center_mass: False`, `r_boost: True`,
+  `random_z: True`. [#60](https://github.com/jiangyi15/tf-pwa/pull/60)
+
+**Added**
+
+- Support Custom DecayChain. [#59](https://github.com/jiangyi15/tf-pwa/pull/59)
+- Support to export `Saved Model` format of tensorflow.
+  [#58](https://github.com/jiangyi15/tf-pwa/pull/58)
+- Error propagation with automatic differentiation.
+  [#56](https://github.com/jiangyi15/tf-pwa/pull/56)
+  [#57](https://github.com/jiangyi15/tf-pwa/pull/57)
+- New Decay model `gls-cpv` for CP violation.
+  [#55](https://github.com/jiangyi15/tf-pwa/pull/55)
+- Support Identical particles.
+  [#54](https://github.com/jiangyi15/tf-pwa/pull/54)
+
 **Changed**
 
 - Force hessian matrix positive defined by adding some value for eigen value.

conda/meta.yaml

@@ -1,4 +1,4 @@
-{% set version = "0.1.5" %}
+{% set version = "0.1.6" %}
 
 package:
   name: tf-pwa

tf_pwa/config_loader/data.py

@@ -143,9 +143,9 @@ def load_p4(self, fnames):
     def cal_angle(self, p4):
         if isinstance(p4, (list, tuple)):
             p4 = {k: v for k, v in zip(self.get_dat_order(), p4)}
-        center_mass = self.dic.get("center_mass", True)
-        r_boost = self.dic.get("r_boost", False)
-        random_z = self.dic.get("random_z", False)
+        center_mass = self.dic.get("center_mass", False)
+        r_boost = self.dic.get("r_boost", True)
+        random_z = self.dic.get("random_z", True)
         data = cal_angle_from_momentum(
             p4,
             self.decay_struct,

tf_pwa/tests/config_cfit.yml

@@ -6,6 +6,9 @@ data:
   data_eff_value: "toy_data/data_eff_value.dat"
   phsp_eff_value: "toy_data/phsp_eff_value.dat"
   dat_order: [B, C, D]
+  center_mass: True
+  random_z: False
+  r_boost: False
   data: ["toy_data/data.dat"]
   phsp: ["toy_data/PHSP.dat"]
 

tf_pwa/tests/config_cfit_cached.yml

@@ -6,6 +6,8 @@ data:
   data_eff_value: "toy_data/data_eff_value.dat"
   phsp_eff_value: "toy_data/phsp_eff_value.dat"
   dat_order: [B, C, D]
+  random_z: False
+  r_boost: False
   data: ["toy_data/data.dat"]
   phsp: ["toy_data/PHSP.dat"]
   cached_amp: True

tf_pwa/tests/config_toy.yml

@@ -3,6 +3,8 @@ data:
   data: ["toy_data/data.dat"]
   bg: ["toy_data/bg.dat"]
   phsp: ["toy_data/PHSP.dat"]
+  random_z: False
+  r_boost: False
   bg_weight: 0.1
 
 decay:

tf_pwa/tests/config_toy2.yml

@@ -4,6 +4,8 @@ data:
   bg: ["toy_data/bg.dat"]
   phsp: ["toy_data/PHSP.dat"]
   bg_weight: 0.1
+  random_z: False
+  r_boost: False
   use_tf_function: True
   cached_int: True
   cached_data: "toy_data/data.npy"

tf_pwa/tests/config_toy3.yml

@@ -4,6 +4,8 @@ data:
   bg: [["toy_data/bg.dat"], ["toy_data/bg.dat"]]
   phsp: [["toy_data/PHSP.dat"], ["toy_data/PHSP.dat"]]
   bg_weight: [0.1, 0.1]
+  random_z: False
+  r_boost: False
   cached_amp: True
   use_mix_likelihood: True
 

tutorials/config.yml

@@ -14,11 +14,11 @@ decay:
 
 particle:
   $top:
-    A: { J: 1, P: -1, spins: [-1, 1] }
+    A: { J: 1, P: -1, m0: 4.6, spins: [-1, 1] }
   $finals:
-    B: { J: 1, P: -1 }
-    C: { J: 1, P: -1 }
-    D: { J: 0, P: -1 }
+    B: { J: 1, P: -1, m0: 2.00698 }
+    C: { J: 1, P: -1, m0: 2.01028 }
+    D: { J: 0, P: -1, m0: 0.13957 }
   R_BC: { J: 1, Par: 1, m0: 4.16, g0: 0.1 }
   R_BD: { J: 1, Par: 1, m0: 2.43, g0: 0.3 }
   R_CD: { J: 1, Par: 1, m0: 2.42, g0: 0.03 }